生态学杂志2025，Vol.44Issue(4)：1297-1305,9.DOI:10.13292/j.1000-4890.202504.020
基于Sentinel-2A的融合多植被指数估算小流域生物多样性
Estimation of biodiversity in small watershed based on Sentinel-2A fused multi-vegetation index
摘要
Abstract
Timely and rapid monitoring of biodiversity is of great significance for forest management and diversity conservation.The traditional method of plot survey cannot meet the data needs of biodiversity monitoring and evalua-tion at landscape and regional scales.In this study,27 Sentinel-2A image data in 2022 were used to construct a biodiversity estimation model at the small watershed scale using 12 vegetation indices.The spatial distribution pat-tern of biodiversity Caijiachuan Basin,Jixian County,Shanxi Province was explored with this model.The results showed that stand density of Robinia pseudoacacia was not the only factor controlling biodiversity in the forest.Simp-son diversity index(D),Shannondiversity index(H)and Pielou evenness index(J)were significantly correlated with the percentage of infrared percentage vegetation index(IPVI)and red-edge chlorophyll index(Clre)(P＜0.01).The mean square errors(MSE)of the estimated and measured values of D,H and J in the remote sensing model of biodiversity were 0.021,0.192 and 0.016,respectively,indicating that the estimation model constructed by the vegetation indices can be used for biodiversity estimation and monitoring in the study area.The biodiversity level was best estimated on the shady slope areas with high altitude.关键词
生物多样性/植被指数/遥感监测/Sentinel-2A影像Key words
biological diversity/vegetation index/remote sensing monitoring/Sentinel-2A image引用本文复制引用
程家琪,张建军,张燕妮,张晓杰,张学霞..基于Sentinel-2A的融合多植被指数估算小流域生物多样性[J].生态学杂志,2025,44(4):1297-1305,9.基金项目
国家重点研发计划项目(2022YFF130040103,2022YFE0104700)资助. （2022YFF130040103,2022YFE0104700）
